Evidence map›Paper›PMID 40766654›Full record

ArticlebioRxiv : the preprint server for biology2025

Functional Brain Mapping of Body Size Estimation Using a 3D Avatar.

Hayden J Peel, Joel P Diaz-Fong, Sameena Karsan, Rajay Kumar, Gerhard Hellemann, Jamie D Feusner

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hayden J PeelBrain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID 0000-0001-6078-2970
Joel P Diaz-FongBrain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID 0000-0002-2108-6830
Sameena KarsanBrain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID 0000-0003-0021-4810
Rajay KumarInternational Technology Consulting, LLC, California, United States of America.ORCID 0000-0002-7306-4131
Gerhard HellemannSchool of Public Health, University of Alabama at Birmingham, Alabama, United States of America.ORCID 0000-0003-2449-7704
Jamie D FeusnerBrain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID 0000-0002-0391-345X

Funding

Neural mechanisms of perceptual abnormalities and their malleability in bodydysmorphic disorderR01MH121520 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FEUSNER, JAMIE · 2020 to 2025
$2.8M
NIMH NIH HHS R01 MH121520
6 · The paper itself

Abstract

Background: Body size estimation-the ability to judge the size and shape of one's own body-is a key perceptual component of body image. However, its neural basis, and the basis for inter-individual differences in accuracy, remain poorly understood, partly due to limitations in existing assessment tools. Methods: We developed Somatomap 3D, an interactive fMRI-compatible task allowing participants to manipulate a rotatable 3D avatar by adjusting the size and shape of 26 individual body parts to match their perceived body. Twenty-eight healthy male and female adults completed the task during fMRI. Brain activity in a priori regions of interest from previous studies of body processing was modeled using a general linear model incorporating event-specific parameters and parametric modulators related to task performance. Inter-individual differences in body size estimation accuracy were calculated using multidimensional scaling of body part estimation errors, and scores were correlated with BOLD signal eigenvariates from regions of interest. Results: Task engagement was associated with significant activation in hypothesized body-selective and multisensory regions, including bilateral extrastriate body area, right fusiform body area, right superior parietal lobule, and bilateral premotor cortex. Multidimensional scaling identified a primary subdimension reflecting distortions in body part girths, which was significantly associated with neural responses in the superior parietal lobule. No other brain regions showed significant associations with inter-individual differences in estimation accuracy. Conclusions: These results suggest that body size estimation engages a distributed network of visual, motor, and parietal regions. Among these, only the superior parietal lobule showed a significant association with inter-individual variation in body size estimation accuracy for body part girths, supporting its role as a candidate neural substrate for altered body representation in psychiatric conditions such as eating disorders and body dysmorphic disorder.

Indexed as

body image perceptionbody representationfMRIparametric modulationperceptual distortion

Identifiers

PMID40766654
PMCPMC12324259

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.